Liwen Ling
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Grey System Theory Applications
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- Spectroscopy and Chemometric Analyses
Papers in
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- Energy Load and Power Forecasting 9
- Advanced Semiconductor Detectors and Materials 5
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- Stock Market Forecasting Methods 10
- Grey System Theory Applications 4
- Forecasting Techniques and Applications 4
- Co-authors
- Dabin Zhang (15 shared papers)Shanying Chen (4 shared papers)Huanling Hu (5 shared papers)Amin Mugera (3 shared papers)Lin Wang (1 shared paper)Wentao Jiang (3 shared papers)Wentao Jiang (1 shared paper)Qian Li (1 shared paper)
In The Last Decade
Liwen Ling
21 papers receiving 272 citations
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 97
- Analytical Chemistry 20
- Electrical and Electronic Engineering 116
- Artificial Intelligence 58
- Economics and Econometrics 45
Countries citing papers authored by Liwen Ling
This map shows the geographic impact of Liwen Ling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liwen Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwen Ling more than expected).
Fields of papers citing papers by Liwen Ling
This network shows the impact of papers produced by Liwen Ling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liwen Ling. The network helps show where Liwen Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Liwen Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 28 | |
| 4 | 2020 | 22 | |
| 5 | 2022 | 20 | |
| 6 | 2019 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Liwen Ling
Liwen Ling is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Atomic and Molecular Physics, and Optics, Signal Processing and Radiation, having authored 22 papers that have together received 276 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (10 papers), Energy Load and Power Forecasting (9 papers), Advanced Semiconductor Detectors and Materials (5 papers), Semiconductor Quantum Structures and Devices (4 papers), Grey System Theory Applications (4 papers), Forecasting Techniques and Applications (4 papers), Time Series Analysis and Forecasting (4 papers) and Radiation Detection and Scintillator Technologies (3 papers). The work is most often cited by research in Management Science and Operations Research (97 citations), Analytical Chemistry (20 citations), Electrical and Electronic Engineering (116 citations), Artificial Intelligence (58 citations) and Economics and Econometrics (45 citations). Liwen Ling has collaborated with scholars based in China and Australia. Frequent co-authors include Dabin Zhang, Shanying Chen, Huanling Hu, Amin Mugera, Lin Wang, Wentao Jiang, Wentao Jiang, Qian Li, Jijun Zhang and Jiahua Min. Their work appears in journals such as Journal of Crystal Growth, Journal of Forecasting, Neural Processing Letters, Soft Computing and Systems Science & Control Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.